How to Build Your Own MCP Server with Python
SMRTR summary
AI models lack access to external systems and live data, limiting their capabilities to only information provided in prompts. The Model Context Protocol (MCP) solves this by enabling AI models to securely connect to APIs, databases, and tools through small Python servers. This tutorial demonstrates building an MCP server using FastMCP that can perform calculations, generate random words, and fetch live weather data, then deploying it to the cloud for production use.
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